Integration of Mobile Learning into Complex Problem-Solving Processes during STEM Education

Shchedrina, Elena Vladimirovna; Galkina, E. N.; Petunina, Irina; Lushkov, Richard

doi:10.3991/ijim.v14i21.18463

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…The number of students using smartphones for learning is constantly increasing. For example, in the research conducted by [14], there were 10.4% of students using smartphones for learning in the academic year 2015/2016, while the percentage increased to 61.5% in 2019/2020.…”

Section: Support For Alternative Forms Of Teaching In and Out Of The Classroommentioning

confidence: 99%

Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network

Juric

Bakarić

Matetić

2021

Int. J. Interact. Mob. Technol.

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In order to make e-learning systems more readily available for use, the majority of new systems are being developed in a form suitable for mobile learning, i.e. m-learning. The paper puts focus on the parts of the implementation of an e-learning system which is not restricted to desktop platforms, but works equally well on smartphones and tablets in the form of m-learning. The implemented system uses educational computer games for learning Mathematics in primary schools and has an integrated social network, which is used for communication and publishing of the content related to the game. Besides analysing the platforms used for accessing the system (desktop/mobile), since students are given a choice, the paper also questions how to interpret messages when they contain concepts in student jargon or generally unknown to teachers, and shows that these messages can be interpreted by applying neural networks.

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Section: Support For Alternative Forms Of Teaching In and Out Of The Classroommentioning

confidence: 99%

Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network

Juric

Bakarić

Matetić

2021

Int. J. Interact. Mob. Technol.

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“…In conclusion, this study aims to contribute to the growing body of knowledge regarding m-learning trends integrated with STEM-PjBL in physics learning. By shedding light on the current state of research and practice, it seeks to inform educators, policymakers, and researchers about the potential of this approach and its implications for transforming physics instruction [12]. The students' perceptions of physics education study programs are in a good category, according to one of the associated articles about m-learning in higher education for the industrial 4.0 of physics perception and physics practicum, with an average of 74.01 [13].…”

Section: Introductionmentioning

confidence: 99%

The integration of mobile learning in STEM-PjBL for Physics learning: a systematic literature review

Bakri,

Budi,

Rahmawati

2023

J. Phys.: Conf. Ser.

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Mobile learning (m-learning) has emerged as a promising educational approach that utilizes mobile devices to enhance learning experiences. In the field of STEM education, the integration of m-learning with PjBL as means to foster student engagement and facilitate deep learning. This Systematic Literature Review (SLR) aims to examine the existing research on integrating m-learning in STEM-PjBL specifically focused on physics learning. The research method used is an SLR collected 214 articles and then selected 50 articles based on themes about m-learning integration, STEM-PjBL, and physics learning from scientific international literature indexed by Google Scholar, Scopus, Research Gate, Elsevier, ERIC, Springer, Taylor & Francis Group. The synthesis of existing studies informs about 1) the effectiveness of integration m-learning in STEM for kinematics, magnetism, and other physics topics; 2) the benefits obtained are knowing the media for learning, increasing students’ motivation, HOTS, problem-solving skills, and science process skills; and 3) the challenges of technological development in education are very fast and associated with this instructional approach. With 18 articles or 36% of the entire article, devoted to the quantitative method, those three primary topics are the device/m-learning, PjBL, and learning models. Based on the findings of this literature review, m-learning materials for physics instruction, m-learning that is integrated with different learning models, and STEM-PjBL implementation for improving students’ 21st-century skills.

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An experimental study to promote preservice teachers’ competencies in the classroom based on teaching-learning model and Moso Teach

Oubibi

2023

Educ Inf Technol

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Integration of Mobile Learning into Complex Problem-Solving Processes during STEM Education

Cited by 5 publications

References 29 publications

Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network

Implementing M-Learning System for Learning Mathematics Through Computer Games and Applying Neural Networks for Content Similarity Analysis of an Integrated Social Network

The integration of mobile learning in STEM-PjBL for Physics learning: a systematic literature review

An experimental study to promote preservice teachers’ competencies in the classroom based on teaching-learning model and Moso Teach

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